人、空间使用和物体:基于 UWB 的新建筑空间入住后评估量化方法

D. N. Ege, P. Aalto, Martin Steinert
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引用次数: 0

摘要

目的 本研究旨在解决在了解新的、鲜为人知的建筑空间(如创客空间)的使用情况方面存在的方法缺陷和高昂的相关成本。所提出的量化方法旨在加强当前的使用后评估(POE)实践,为建筑师、工程师和建筑专业人员提供可访问的直观数据,用于对空间变化进行比较研究,了解随时间发生的变化(如 COVID-19 带来的变化),并通过量化的使用后评估验证施工后的设计意图。该实验是在一个创客空间进行的,为期四天,由四名积极跟踪参与者组成的团队参与。研究结果该研究表明,除了简单地计算空间中的人数外,还可以发现、记录和分析更细微的互动模式。我们的方法提供了一种更好地理解人、物体和空间之间时空互动的方法,为 POE 提供了宝贵的反馈。具体来说,我们的方法有助于从业人员在开发新的建筑空间(如创客空间)时对空间进行比较、验证设计意图并加快知识积累。
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People, space use and objects: an UWB-based quantifying approach for post-occupancy evaluation of new architectural spaces
PurposeThis study was conducted to address the methodical shortcomings and high associated cost of understanding the use of new, poorly understood architectural spaces, such as makerspaces. The proposed quantified method of enhancing current post-occupancy evaluation (POE) practices aims to provide architects, engineers and building professionals with accessible and intuitive data that can be used to conduct comparative studies of spatial changes, understand changes over time (such as those resulting from COVID-19) and verify design intentions after construction through a quantified post-occupancy evaluation.Design/methodology/approachIn this study, we demonstrate the use of ultra-wideband (UWB) technology to gather, analyze and visualize quantified data showing interactions between people, spaces and objects. The experiment was conducted in a makerspace over a four-day hackathon event with a team of four actively tracked participants.FindingsThe study shows that by moving beyond simply counting people in a space, a more nuanced pattern of interactions can be discovered, documented and analyzed. The ability to automatically visualize findings intuitively in 3D aids architects and visual thinkers to easily grasp the essence of interactions with minimal effort.Originality/valueBy providing a method for better understanding the spatial and temporal interactions between people, objects and spaces, our approach provides valuable feedback in POE. Specifically, our approach aids practitioners in comparing spaces, verifying design intent and speeding up knowledge building when developing new architectural spaces, such as makerspaces.
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